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Challenges for Artificial Cognitive Systems*
"... The declared goal of this paper is to fill this gap: “ … cognitive systems research needs questions or challenges that define progress. The challenges are not (yet more) predictions of the future, but a guideline to what are the aims and what would constitute progress. ” – the quotation bei ..."
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Cited by 1 (0 self)
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The declared goal of this paper is to fill this gap: “ … cognitive systems research needs questions or challenges that define progress. The challenges are not (yet more) predictions of the future, but a guideline to what are the aims and what would constitute progress. ” – the quotation
Biological Metaphors for Evolving Artificial Cognitive Systems
- Proceedings of the 14th International Congress on Cybernetics, volume
, 1995
"... This paper presents an Artificial Life approach for the Emergence of Artificial Cognitive Systems dedicated to Autonomous Robotics. Artificial Life metaphor is extensively exploited through the use of a number of biologically inspired models. Dynamical Neural Networks, Genetic Algorithms, Artificial ..."
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This paper presents an Artificial Life approach for the Emergence of Artificial Cognitive Systems dedicated to Autonomous Robotics. Artificial Life metaphor is extensively exploited through the use of a number of biologically inspired models. Dynamical Neural Networks, Genetic Algorithms
Exploratory learning structure in artificial cognitive systems
- In ICVW
, 2007
"... Abstract. One major goal of the COSPAL project is to develop an artificial cognitive system architecture with the capability of exploratory learning. Exploratory learning is a strategy that allows to apply generalization on a conceptual level, resulting in an extension of competences. Whereas classi ..."
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Cited by 7 (4 self)
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Abstract. One major goal of the COSPAL project is to develop an artificial cognitive system architecture with the capability of exploratory learning. Exploratory learning is a strategy that allows to apply generalization on a conceptual level, resulting in an extension of competences. Whereas
Proposing a New Focus for the Study of Natural and Artificial Cognitive Systems
, 2002
"... In the study of systems the function of the system is often a good hint to how it works. In the following paper I would like to suggest that in studying or modeling a cognitive system our pre-knowledge of their functions should be treated carefuly. We should focus on the statistical distribution of ..."
Cognition and (Artificial) Cognitive Systems- explanatory & exploratory notes-
"... Abstract We briefly sketch some of the many concepts and issues involved in cognition and cognitive systems research and engineering, and describe in very broad terms, some of many potential application areas. We emphasise the need for exploring new architectures for artificial cognitive systems as ..."
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Abstract We briefly sketch some of the many concepts and issues involved in cognition and cognitive systems research and engineering, and describe in very broad terms, some of many potential application areas. We emphasise the need for exploring new architectures for artificial cognitive systems
ISSN 1400‐3902Exploratory Learning Structure in Artificial Cognitive Systems ⋆
"... Abstract. One major goal of the COSPAL project is to develop an artificial cognitive system architecture with the capability of exploratory learning. Exploratory learning is a strategy that allows to apply generalization on a conceptual level, resulting in an extension of competences. Whereas classi ..."
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Abstract. One major goal of the COSPAL project is to develop an artificial cognitive system architecture with the capability of exploratory learning. Exploratory learning is a strategy that allows to apply generalization on a conceptual level, resulting in an extension of competences. Whereas
Artificial Cognitive Systems: From VLSI Networks of Spiking Neurons to Neuromorphic Cognition
, 2009
"... Abstract Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology. Remarkable progress has been made re ..."
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-based plasticity mechanisms and soft winner-take-all architectures represent important building blocks useful for implementing artificial neural systems able to exhibit basic cognitive abilities.
Attachment Theory and Artificial Cognitive Systems 1 Dean Petters
"... John Bowlby formulated the core of Attachment Theory whilst working in a multidisciplinary team of childcare professionals, psychoanalysts, ethologists and other researchers at the Tavistock Clinic for over thirty years after the Second World War (Holmes 1993). From its inception Attachment Theory i ..."
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to these observable phenomena. It can therefore be presented as incorporating theoretical components that can be termed the behavioural and cognitive components of Attachment Theory. The behavioural component of Attachment Theory is valuable for researchers interested in engineering artificial attachment systems
Evolving Artificial Neural Networks
, 1999
"... This paper: 1) reviews different combinations between ANN's and evolutionary algorithms (EA's), including using EA's to evolve ANN connection weights, architectures, learning rules, and input features; 2) discusses different search operators which have been used in various EA's; ..."
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Cited by 574 (6 self)
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's; and 3) points out possible future research directions. It is shown, through a considerably large literature review, that combinations between ANN's and EA's can lead to significantly better intelligent systems than relying on ANN's or EA's alone
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